A Comparative Study on Bio-Inspired Algorithms in Layout Optimization of Construction Site Facilities
Autor(en): |
Doddy Prayogo
Jessica Chandra Sutanto Hieronimus Enrico Suryo Samuel Eric |
---|---|
Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Civil Engineering Dimension / Dimensi Teknik Sipil, Oktober 2018, n. 2, v. 20 |
Seite(n): | 102 |
DOI: | 10.9744/ced.20.2.102-110 |
Abstrakt: |
A good arrangement of site layout on a construction project is a fundamental component of the project's efficiency. Optimization on site layout is necessary in order to reduce the transportation cost of resources or personnel between facilities. Recently, the use of bio-inspired algorithms has received considerable critical attention in solving the engineering optimization problem. These methods have consistently provided better performance than traditional mathematical-based methods to a variety of engineering problems. This study compares the performance of particle swarm optimization (PSO), artificial bee colony (ABC), and symbiotic organisms search (SOS) algorithms in optimizing site layout planning problems. Three real-world case studies of layout optimization problems have been used in this study. The results show that SOS has a better performance in comparison to the other algorithms. Thus, this study provides useful insights to construction practitioners in the industry who are involved in dealing with optimization problems |
Copyright: | © All right reserved 2018. Civil Engineering Dimension |
Lizenz: | Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 3.0 (CC-BY 3.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden. |
0.4 MB
- Über diese
Datenseite - Reference-ID
10322261 - Veröffentlicht am:
12.07.2019 - Geändert am:
02.06.2021